Deployment
Your infrastructure. Your jurisdiction. Your rules.
BrainShift adapts to your operating constraints rather than forcing your data into someone else's cloud.
Options
Five deployment models
On-Premise
Runs entirely inside your data center with your own models and storage.
Air-Gapped
Fully disconnected deployments for classified and critical environments.
Private Cloud
Dedicated, isolated tenancy in your cloud account and region.
Sovereign Cloud
National or regional cloud with residency guarantees for public sector.
Hybrid
Sensitive workloads on-premise, elastic workloads in cloud, one control plane.
Managed
BrainShift-operated environments with enterprise SLAs and governance.
Operations
Enterprise-grade operations
- Kubernetes-based deployment
- High availability and failover
- Horizontal scaling
- Disaster recovery
- Model hosting and versioning
- Observability and alerting
- Backup and retention
- Upgrade and rollback paths
How it works
From first environment to full production
BrainShift is deployed where your organization decides, and grows from one solution to many.
01
Plan
Agree on hosting, security requirements, models and first use cases.
02
Install
Set up BrainShift on premises, in a private or sovereign cloud, or hybrid.
03
Connect
Link identity, data sources and the models you approve.
04
Scale
Add solutions, departments and capacity over time.
Inside the product
Core components
On premises
Run entirely in your own data center.
Private or sovereign cloud
Use a cloud that meets your residency rules.
Hybrid
Keep sensitive work local and use cloud where allowed.
Disconnected
Operate without any internet connection.
GPU infrastructure
Sized for the models and volumes you need.
Environments
Separate development, testing and production.
Connected platform
How it works with the rest of BrainShift
Security and deployment
Runs under your control
- ▸Runs on premises, in a private or sovereign cloud, or fully disconnected.
- ▸Role-based access aligned with your directory and data permissions.
- ▸Every result traceable to its source, with a full audit trail.
- ▸People review and approve high-impact findings before action.
Questions
Frequently asked
How long does a deployment take?
It depends on your environment and scope; our team will give you a plan after an initial review.
Can we start small?
Yes. Many organizations start with one solution and expand.
Which models can we use?
Open and commercial models approved by your organization, managed through Gateway.
Who operates the platform?
Your team, our team, or both, we can provide managed operations.
Design your deployment architecture
Bring your data, knowledge, AI models, workflows, and AI agents together through one secure enterprise AI platform.